Vladimir Vrbanac

3.8k citations
37 papers · 2.7k indexed · 2 hit papers · h-index 22
Topics
HIV Research and Treatment (18 papers)Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (11 papers)

In The Last Decade

Vladimir Vrbanac

37 papers receiving 2.6k citations

Hit Papers

Mechanosignaling through YAP and TAZ drives fibroblast ac...201420262018202220142014200400600

Peers

Vladimir Vrbanac
Comparison fields: 5 of 116
  • Molecular Biology 1.1k
  • Immunology 854
  • Virology 527
  • Cell Biology 380
  • Oncology 376
Replace Sang‐Kyung Lee with:
Sang‐Kyung Lee South Korea
Nigel A.J. McMillan Australia
Robert Jan Lebbink Netherlands
Paula M. Cannon United States
William M. Rehrauer United States
Jun Komano Japan
Houping Ni United States
Mabel Jouve France
Sylvie Darche France
Ype P. de Jong United States
Vladimir Vrbanac relative to Sang‐Kyung Lee South Korea Sang‐Kyung Lee's profile →
Citations per field
00.5×4.6×
Sang‐Kyung Lee · 1×
Citations per year

Countries citing papers authored by Vladimir Vrbanac

Since Specialization
Citations

This map shows the geographic impact of Vladimir Vrbanac's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vladimir Vrbanac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Vrbanac more than expected).

Fields of papers citing papers by Vladimir Vrbanac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Vrbanac. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vladimir Vrbanac. The network helps show where Vladimir Vrbanac may publish in the future.

Co-authorship network of co-authors of Vladimir Vrbanac

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Vrbanac. A scholar is included among the top collaborators of Vladimir Vrbanac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimir Vrbanac. Vladimir Vrbanac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 6
4 9
5 10
6 22
7 31
8 16
9 76
10 31
11 84
12 17
13 28
14 44
15 29
16 290
17
A mucosal vaccine against Chlamydia trachomatis generates two waves of protective memory T cells
16
18 49
19
Mechanosignaling through YAP and TAZ drives fibroblast activation and fibrosisbreakdown →
617
20 184

About Vladimir Vrbanac

Vladimir Vrbanac is a scholar working on Virology, Immunology and Microbiology, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Virology (527 citations), Immunology (854 citations) and Business and International Management (53 citations). Vladimir Vrbanac has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Andrew M. Tager, Andrew D. Luster, Maud Déruaz, Todd M. Allen, Ulrich H. von Andrian, Edward Seung, Daniel J. Tschumperlin, Fei Liu, Thomas H. Sisson and Clemens K. Probst. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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